id: 06107970
dt: a
an: 06107970
au: Bruckstein, Alfred M.
ti: Digital geometry in image-based metrology.
so: Brimkov, Valentin E. (ed.) et al., Digital geometry algorithms. Theoretical
    foundations and applications to computational imaging. New York, NY:
    Springer (ISBN 978-94-007-4173-7/hbk; 978-94-007-4174-4/ebook). Lecture
    Notes in Computational Vision and Biomechanics 2, 3-26 (2012).
py: 2012
pu: New York, NY: Springer
la: EN
cc: 
ut: image-based metrology; digital geometry
ci: 
li: doi:10.1007/978-94-007-4174-4_1
ab: Summary: Interesting issues in digital geometry arise due to the need to
    perform accurate automated measurements on objects that are “seen
    through the eyes” of modern imaging devices. These devices are
    typically regular arrays of light sensors and they yield matrices of
    quantized probings of the objects being looked at. In this setting, the
    natural questions that may be posed are: how can we locate and
    recognize instances from classes of possible objects, and how precisely
    can we measure various geometric properties of the objects of interest,
    how accurately can we locate them given the limitations imposed upon us
    by the geometry of the sensor lattices and the quantization and noise
    omnipresent in the sensing process. Another interesting area of
    investigation is the design of classes of objects that enable optimal
    exploitation of the imaging device capabilities, in the sense of
    yielding the most accurate measurements possible.
rv: